A probabilistic framework for memory-based reasoning

Artificial Intelligence

Volumn 104, Issue 1-2, 1998, Pages 287-311

  Kasif, Simon ^a   Salzberg, Steven ^b   Waltz, David ^c   Rachlin, John ^d   Aha, David W ^e  

^a University of Illinois at Chicago   (United States)

^b Johns Hopkins University   (United States)

^c NEC LABORATORIES AMERICA   (United States)

^d IBM T J WATSON RESEARCH CENTER   (United States)

^e NAVAL RESEARCH LABORATORY   (United States)

Author keywords

Bayes networks; Learning; Local learning; MBR transform; Memory based learning; Meta learning; Probabilistic inference

Indexed keywords

COMPUTER HARDWARE DESCRIPTION LANGUAGES; DATA STORAGE EQUIPMENT; INFERENCE ENGINES; INFORMATION RETRIEVAL; LEARNING ALGORITHMS; LEARNING SYSTEMS; PROBABILITY;

BAYES NETWORKS; MEMORY-BASED REASONING (MBR);

ARTIFICIAL INTELLIGENCE;

EID: 0032156226     PISSN: 00043702     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0004-3702(98)00046-0     Document Type: Article

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